Tyler Lu

1.8k total citations
27 papers, 856 citations indexed

About

Tyler Lu is a scholar working on Management Science and Operations Research, Artificial Intelligence and Economics and Econometrics. According to data from OpenAlex, Tyler Lu has authored 27 papers receiving a total of 856 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Management Science and Operations Research, 14 papers in Artificial Intelligence and 10 papers in Economics and Econometrics. Recurrent topics in Tyler Lu's work include Auction Theory and Applications (10 papers), Game Theory and Voting Systems (8 papers) and Advanced Bandit Algorithms Research (5 papers). Tyler Lu is often cited by papers focused on Auction Theory and Applications (10 papers), Game Theory and Voting Systems (8 papers) and Advanced Bandit Algorithms Research (5 papers). Tyler Lu collaborates with scholars based in Canada, United States and Israel. Tyler Lu's co-authors include Craig Boutilier, Dávid Pál, Shai Ben-David, Martin Pál, Ioannis Caragiannis, Ariel D. Procaccia, Or Sheffet, Simi Haber, Alejandro López-Ortíz and Jérémy Barbay and has published in prestigious journals such as Artificial Intelligence, Journal of Machine Learning Research and ACM Journal of Experimental Algorithmics.

In The Last Decade

Tyler Lu

26 papers receiving 813 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Tyler Lu Canada	14	418	366	330	122	111	27	856
Nina Narodytska Australia	14	575 1.4×	129 0.4×	140 0.4×	147 1.2×	158 1.4×	53	819
Ulle Endriss Netherlands	20	681 1.6×	755 2.1×	590 1.8×	134 1.1×	238 2.1×	106	1.4k
Evangelos Markakis Greece	16	228 0.5×	779 2.1×	635 1.9×	268 2.2×	407 3.7×	47	1.4k
Vivekanand Gopalkrishnan Singapore	14	310 0.7×	297 0.8×	46 0.1×	76 0.6×	92 0.8×	30	777
Dawei Cheng China	17	597 1.4×	255 0.7×	94 0.3×	15 0.1×	74 0.7×	75	1.1k
Minghua He United Kingdom	14	354 0.8×	337 0.9×	43 0.1×	28 0.2×	172 1.5×	27	697
Luigi Palopoli Italy	18	598 1.4×	158 0.4×	70 0.2×	129 1.1×	460 4.1×	105	1.0k
Javier Castro Spain	8	153 0.4×	167 0.5×	105 0.3×	41 0.3×	50 0.5×	25	508
Dávid Pál Canada	10	494 1.2×	499 1.4×	26 0.1×	30 0.2×	173 1.6×	18	790
Asaf Levin Israel	18	155 0.4×	199 0.5×	44 0.1×	358 2.9×	596 5.4×	130	1.3k

Countries citing papers authored by Tyler Lu

Since Specialization

Citations

This map shows the geographic impact of Tyler Lu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Tyler Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tyler Lu more than expected).

Fields of papers citing papers by Tyler Lu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tyler Lu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Tyler Lu. The network helps show where Tyler Lu may publish in the future.

Co-authorship network of co-authors of Tyler Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Tyler Lu. A scholar is included among the top collaborators of Tyler Lu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tyler Lu. Tyler Lu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Lu, Tyler, et al.. (2020). ConQUR: Mitigating Delusional Bias in Deep Q-Learning. arXiv (Cornell University). 1. 9187–9195. 1 indexed citations

Lu, Tyler & Craig Boutilier. (2019). Preference elicitation and robust winner determination for single- and multi-winner social choice. Artificial Intelligence. 279. 103203–103203. 2 indexed citations

Lazic, Nevena, et al.. (2018). Data Center Cooling using Model-predictive Control. Neural Information Processing Systems. 31. 3814–3823. 64 indexed citations

Lu, Tyler, Dale Schuurmans, & Craig Boutilier. (2018). Non-delusional Q-learning and value-iteration. Neural Information Processing Systems. 31. 9949–9959. 10 indexed citations

Boutilier, Craig & Tyler Lu. (2016). Budget allocation using weakly coupled, constrained Markov decision processes. Uncertainty in Artificial Intelligence. 52–61. 26 indexed citations

Lu, Tyler & Craig Boutilier. (2015). Value-Directed Compression of Large-Scale Assignment Problems. Proceedings of the AAAI Conference on Artificial Intelligence. 29(1). 16 indexed citations

Boutilier, Craig, Ioannis Caragiannis, Simi Haber, et al.. (2015). Optimal social choice functions: A utilitarian view. Artificial Intelligence. 227. 190–213. 70 indexed citations

Lu, Tyler & Craig Boutilier. (2014). Effective sampling and learning for mallows models with pairwise-preference data. Journal of Machine Learning Research. 15(1). 3783–3829. 34 indexed citations

Meir, Reshef, Tyler Lu, Moshe Tennenholtz, & Craig Boutilier. (2014). On the value of using group discounts under price competition. Artificial Intelligence. 216. 163–178. 6 indexed citations

10.

Lu, Tyler & Craig Boutilier. (2013). Multi-winner social choice with incomplete preferences. International Joint Conference on Artificial Intelligence. 263–270. 12 indexed citations

11.

Meir, Reshef, Tyler Lu, Moshe Tennenholtz, & Craig Boutilier. (2013). On the Value of Using Group Discounts under Price Competition. Proceedings of the AAAI Conference on Artificial Intelligence. 27(1). 683–689. 2 indexed citations

12.

Lu, Tyler & Craig Boutilier. (2011). Robust approximation and incremental elicitation in voting protocols. International Joint Conference on Artificial Intelligence. 287–293. 50 indexed citations

13.

Lu, Tyler & Craig Boutilier. (2011). Learning Mallows Models with Pairwise Preferences. International Conference on Machine Learning. 145–152. 89 indexed citations

14.

Lu, Tyler & Craig Boutilier. (2011). Budgeted social choice: from consensus to personalized decision making. International Joint Conference on Artificial Intelligence. 280–286. 106 indexed citations

15.

Ben-David, Shai, et al.. (2010). Impossibility Theorems for Domain Adaptation. International Conference on Artificial Intelligence and Statistics. 129–136. 87 indexed citations

16.

Lu, Tyler, Dávid Pál, & Martin Pál. (2010). Contextual Multi-Armed Bandits. International Conference on Artificial Intelligence and Statistics. 485–492. 90 indexed citations

17.

Lu, Tyler, et al.. (2010). Showing Relevant Ads via Lipschitz Context Multi-Armed Bandits. 10 indexed citations

18.

Lu, Tyler & Craig Boutilier. (2010). The unavailable candidate model. 263–274. 17 indexed citations

19.

Ben-David, Shai, Tyler Lu, & Dávid Pál. (2008). Does Unlabeled Data Provably Help? Worst-case Analysis of the Sample Complexity of Semi-Supervised Learning.. Conference on Learning Theory. 33–44. 52 indexed citations

20.

Ben-David, Shai, et al.. (2008). Learning Low-Density Separators. ArXiv.org. 5. 25–32. 7 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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